Active Power Optimization Dispatch Strategy for Wind Farm Based on Additive Increase Multiplicative Decrease Method

被引:0
|
作者
Zhang, Jiaheng [1 ]
Jia, Yongyong [2 ]
Li, Qiang [2 ]
Wang, Chenggen [2 ]
Xu, Chang [1 ]
Wang, Siyuan [1 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing, Peoples R China
[2] State Grid Jiangsu Elect Power Co Ltd, Res Inst, Syst & New Energy Ctr, Nanjing, Peoples R China
关键词
wind farm; active power dispatch; power response capability; Additive Increase Multiplicative Decrease; TURBINES;
D O I
10.1109/ICPST61417.2024.10602016
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Under the background of wind power participating in Automatic Generation Control (AGC) of the power grid, wind farm (WF) needs to allocate power command among WTs with different locations and different operating states according to the power demand issued by the power grid, to meet the overall power dispatch requirement of the power grid. However, the traditional wind farm active power dispatch strategy based on specific proportion distribution will limit wind turbines (WTs) which have power response capability to continue increasing output power because some of WTs have reached the upper limit of power response capacity, resulting in a lower power command that the entire wind farm can respond to. Therefore, this paper analyzes the problem of this kind of dispatch strategy and proposes a wind farm active power optimization dispatch strategy based on the Additive Increase Multiplicative Decrease method. This method can make the wind farm meet the overall power dispatch requirement and adjust the power command of each WT more flexibly. At the same time, this method designs an update probability which is combined with the releasing kinetic energy of each WT, this method can more fully play the power response capacity of different WTs and improve the upper limit of the power command that the entire wind farm can respond to. Finally, the effectiveness and feasibility of the proposed method are verified by simulation examples, compared with the traditional method, with an increase of about 45%.
引用
收藏
页码:1464 / 1470
页数:7
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